Applied AI Engineer | $150K-$175K + Hybrid + Equity | High-Growth AI Operational Intelligence Startup
About The Position
This role is hybrid, working onsite in Wayne, PA - 1 day per week, typically Tuesday or Thursday. Our client is a fully funded, AI SaaS startup currently operating in stealth mode and preparing for rapid enterprise scale. They are building a next-generation operational intelligence platform focused on solving massive workflow, visibility, and execution challenges across complex enterprise networks. Their platform combines AI workflows, real-time data systems, and enterprise-grade infrastructure to modernize how large organizations manage customer experience at scale. Our client is currently in rapid growth mode, actively expanding its engineering organization as it continues advancing conversations and partnerships with enterprise customers across the industry. This is a rare opportunity to make a BIG Impact at an early-stage, high-growth startup with strong funding, experienced founders, real enterprise traction and product-market fit, and a highly technical product vision centered around AI-native infrastructure from day one. Our client is hiring 2 Applied AI Engineers to help build production-grade AI systems powering operational intelligence, workflow automation, and enterprise customer experiences. You will work directly on AI native product infrastructure, including LLM workflows, AI agents, retrieval systems, orchestration pipelines, and scalable AI powered product capabilities. This is a highly visible engineering role with direct impact on the company’s product direction and long-term AI strategy.
Requirements
- 4-7+ years of experience building and shipping production-grade backend AI or software infrastructure systems used in real-world customer environments.
- Production experience building AI workflows, AI agents, or LLM powered systems.
- Strong Python experience.
- Experience with vector databases, RAG systems, or AI orchestration frameworks.
- Experience building scalable backend systems and APIs.
- Extremely organized and self-sufficient with the ability to work independently in a fast-paced environment with changing requirements.
- Excited to work in a startup environment; you have a track record of being adaptable to changing priorities in a fluid, high-growth environment.
- Proven experience working on entire features, from concept through to production deployment ensuring the feature is built and deployed in a timely fashion.
Responsibilities
- Build and ship production-grade AI workflows, agents, and LLM-powered systems that directly support enterprise customer operations, scalability, and real-world business outcomes.
- Design scalable retrieval, orchestration, and AI infrastructure pipelines.
- Build AI-native product capabilities used by enterprise customers.
- Support prompt engineering, evaluation systems, and AI reliability workflows.
- Improve scalability, observability, and performance of AI systems in production.
- Help architect an AI-first infrastructure.
- Contribute to long-term AI product and platform strategy.
Benefits
- 10 days PTO
- Equity
- Paid holidays
- Work-from-home equipment provided, including laptop and monitors
- Health, medical, and vision coverage
- Early-stage startup environment with direct impact on product and company growth
- Opportunity to help shape the future of an AI-native enterprise platform
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
